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Statistical Engineering Jobs in Elgin, IL (NOW HIRING)

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Quality Engineering Intern

Itasca, IL ยท On-site

$16.25 - $21.25/hr

Statistical process control and data analytics. * AI-assisted engineering workflows. * Product and manufacturing quality improvement methodologies. * Cross-functional collaboration between ...

Quality Engineering Intern

Itasca, IL ยท On-site

$16.25 - $21.25/hr

Statistical process control and data analytics. * AI-assisted engineering workflows. * Product and manufacturing quality improvement methodologies. * Cross-functional collaboration between ...

Quality Engineering Intern

Itasca, IL

$16.25 - $21.25/hr

Statistical process control and data analytics. * AI-assisted engineering workflows. * Product and manufacturing quality improvement methodologies. * Cross-functional collaboration between ...

Process Engineer

Mchenry, IL ยท On-site

$100K - $125K/yr

Create and maintain engineering documentation, specifications, procedures, and technical records. * Conduct risk assessments and support change management activities. * Utilize statistical tools and ...

Apply statistical methods to collect, analyze, interpret, and summarize production data to improve ... Bachelor's degree in Mechanical Engineering, Industrial Engineering, or related field. * 5-8+ years ...

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Showing results 1-20

Statistical Engineering information

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What job categories do people searching Statistical Engineering jobs in Elgin, IL look for? The top searched job categories for Statistical Engineering jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Statistical Engineering jobs? Cities near Elgin, IL with the most Statistical Engineering job openings:
Infographic showing various Statistical Engineering job openings in Elgin, IL as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Statistical Analyst (Remote Eligible)

Statistical Analyst (Remote Eligible)

Mathematica

Chicago, IL โ€ข On-site, Remote

$70K - $90K/yr

Full-time

Posted 9 days ago


Job description

Statistical Analyst (Remote Eligible)
About Mathematica:
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.
Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.
Read more about our benefits here: Benefits at a Glance.
At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.
We are seeking a masters-level Statistical Analyst to join our vibrant group of over 20 statisticians and data scientists. The contributions of our statisticians and statistical analysts underpin our ability to produce crucial evidence for policy and decision makers, ultimately furthering our mission to improve public well-being. For example, our statistical analysts have contributed to projects developing COVID-19 decision tools, extending state-of-the-art methods for identifying treatment effect heterogeneity to enhance primary care delivery, and leveraging Bayesian factorial design to improve the presentation of school choice information to low-income parents.
As part of their employment, statistical analysts benefit from the mentorship of more senior statisticians and subject-matter experts, learning new techniques and familiarizing themselves with new topic areas through involvement in analyses.
Responsibilities:
Analysis:
  • Apply statistical and quantitative methods to evaluate and improve social programs and policies, with the oversight of more senior statisticians. Assist in designing rigorous studies, determining appropriate analytic methods, selecting survey samples, calculating nonresponse adjustments, analyzing survey responses, and interpreting findings.

Programming:
  • Write programs to perform all stages of quantitative analysis, including: (1) conduct data extraction, cleaning, and manipulation, (2) apply advanced statistical and quantitative techniques appropriate for both survey and administrative data, and (3) develop programs to calculate descriptive statistics, populate tables, and visualize results.

Communication:
  • Draft sections of reports, including technical appendices, and presentations for colleagues, policymakers and other stakeholders. Communicate findings to internal project teams via memos, presentations, or markdown files.

Required Qualifications:
  • Master's degree with quantitative discipline, such as statistics, biostatistics, applied mathematics, quantitative economics, survey methodology, data science, or a related field, or an equivalent combination of education and experience
  • Coursework or experience in some of the following statistical and/or quantitative methods: causal inference at both the design (matching or weighting for comparison group selection) and analysis (regression) phases, experimental design, Bayesian inference, hierarchical/multilevel modeling, longitudinal data analysis, performance measurement, SEIR modeling, spatial statistics, small area estimation, survey sampling, non-response weighting, power calculation, and predictive modeling
  • Fluency in one or more of the following statistical programming languages: R (preferred), Python, Stan, Julia, Stata, or SAS
  • Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience

Preferred:
  • Experience contributing to written deliverables, such as proposals, technical reports, or academic manuscripts
  • Background or interest in social policy research and a focus on health policy research

This position offers an anticipated annual base salary range of $70,000 to $90,000.
To apply, please submit cover letter, resume, location preferences, salary requirements, and code samples via our careers page. Please include a code sample (or two or three) which best represents your programming skills, preferably in R. If you include a GitHub, please call out the specific samples you want to highlight. If you do not have code available in these preferred languages, please send a code sample in an alternate language.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, age, national origin, religion, orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
At Mathematica, we understand the importance of building relationships with colleagues. If you're not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it's an option in your area.
Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in or complete the application process and are denied, Mathematica may choose to terminate your employment.
We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high-quality work.